Urology

Latest AI and machine learning research in urology for healthcare professionals.

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The clinical impact of robot-assisted laparoscopic rectal cancer surgery associated with robot-assisted radical prostatectomy.

INTRODUCTION: Robot-assisted laparoscopic surgery has been performed in various fields, especially i...

[Medico-economic evaluation of the impact of measures to adapt to the switch to surgery robot-assisted in urology].

INTRODUCTION: The development of robot-assisted urological surgery is held back by the lack of robus...

Patient-specific, touch-based registration during robotic, image-guided partial nephrectomy.

Image-guidance during partial nephrectomy enables navigation within the operative field alongside a ...

Severe intraoperative bleeding predicts the risk of perioperative blood transfusion after robot-assisted radical prostatectomy.

To evaluate potential factors associated with the risk of perioperative blood transfusion (PBT) with...

Robot-assisted kidney transplantation is a safe alternative approach for morbidly obese patients with end-stage renal disease.

BACKGROUND: Many centres deny obese patients with a body mass index (BMI) >35 access to kidney trans...

Robot-assisted radical cystectomy with intracorporeal Mainz Ⅱ rectosigmoid pouch for muscle-invasive bladder cancer.

BACKGROUND: To report the surgical techniques and results of robot-assisted radical cystectomy (RARC...

Alternative splicing associated with cancer stemness in kidney renal clear cell carcinoma.

BACKGROUD: Cancer stemness is associated with metastases in kidney renal clear cell carcinoma (KIRC)...

Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images.

Regular screening for the early detection of common chronic diseases might benefit from the use of d...

Deep learning model for automated kidney stone detection using coronal CT images.

Kidney stones are a common complaint worldwide, causing many people to admit to emergency rooms with...

A Calibrated Multiexit Neural Network for Detecting Urothelial Cancer Cells.

Deep convolutional networks have become a powerful tool for medical imaging diagnostic. In pathology...

Functional outcomes rather than complications predict poor health-related quality of life at 6 months after robot-assisted radical prostatectomy.

The objective is to evaluate the effect of robot-assisted radical prostatectomy (RARP)-related posto...

Estimating heterogeneous survival treatment effect in observational data using machine learning.

Methods for estimating heterogeneous treatment effect in observational data have largely focused on ...

Using deep learning to identify bladder cancers with FGFR-activating mutations from histology images.

BACKGROUND: In recent years, the fibroblast growth factor receptor (FGFR) pathway has been proven to...

A Literature-Derived Knowledge Graph Augments the Interpretation of Single Cell RNA-seq Datasets.

Technology to generate single cell RNA-sequencing (scRNA-seq) datasets and tools to annotate them ha...

Diagnosis of Chronic Kidney Disease Using Effective Classification Algorithms and Recursive Feature Elimination Techniques.

Chronic kidney disease (CKD) is among the top 20 causes of death worldwide and affects approximately...

Robot-assisted donor hysterectomy in uterus transplantation - a modality to increase reproducibility.

Uterus transplantation is a non-lifesaving vascularized composite allotransplantation procedure requ...

The patient-side surgeon plays a key role in facilitating robot-assisted intracorporeal ileal conduit urinary diversion in men.

The influence of the console surgeon on the feasibility and outcome of various robot-assisted surger...

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